Blog Archives

Does momentum-trading work with monthly charts, part 2

Wei and Yang (2012), from the University of Toronto, Canada, examined momentum in a large sample of U.S. stocks from 1964 to 2009. At the beginning of each month, stocks were sorted quintiles based on their realized past returns. Equally

Posted in Book Two: Twenty-Four Trading Strategies Based on Scientific Findings About Technical Analysis Tagged with: , , , , , , , , , , , , , , , , , , , , ,

When analysts suppress negative information

Anna Scherbina (2008), then at the University of California, Davis, noted earlier research showing firms that performed badly were often reluctant to share negative news with investors. Frequently, the bad news was suppressed not only by firms but also by

Posted in Book One: Forty Trading Strategies Based On Scientific Findings About Analysts' Forecasts Tagged with: , , , , , , , , , , , , , , , , , , , , ,

What impact have recommendation rating levels had?

Barber, Lehavy, and Trueman (2010) – from the University of California, Davis, the University of Michigan, Ann Arbor, and the University of California, Los Angeles – examined the impact of the rating levels and changes in rating levels used by

Posted in Book One: Forty Trading Strategies Based On Scientific Findings About Analysts' Forecasts Tagged with: , , , , , , , , , , , , , , , , , , , , ,

Book Three: Trading With The News

Learn about a news-based trading system that yielded a back-tested, average annualized, compounded return from 2000 to 2011 of 58.6%.

“Only once you’ve done your homework will you be able to understand how the stock market works and learn to distinguish between news and noise.” Maria Bartiromo, Use The News

Book Two: Technical Analysis

Learn about the "trend recalling" algorithm that yielded researchers a simulated annual return of greater than 400% in multiple tests.

“The scientific method is the only rational way to extract useful knowledge from market data and the only rational approach for determining which technical analysis methods have predictive power.”
David Aronson, Evidence Based Technical Analysis

Book One: Analysts’ Forecasts

Learn the strategy, based on analysts' revised forecasts, that yielded researchers an average of 1.13% - 2.19% profit per trade, for trades lasting one to two days?

Learn how certain analysts' recommendations, following brokerage hosted investment conferences, yielded profits of over 3% during a two-day holding period?

Learn how researchers found an average profitability of 1.78% for two-hour trades following an earnings announcement?

"This set of tools can help both ordinary and professional investors alike to re-think and re-vitalize their stock picking, timing and methods. A young, aspiring Warren Buffet could put this book to good use."
James P. Driscoll, PhD, investor

Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments by David Aronson (software included)

Evidence-Based Technical Analysis by David Aronson

Archive of Earlier Posts